Abstract: Knowledge distillation has emerged as a primary solution for anomaly detection, leveraging feature discrepancies between teacher–student (T–S) networks to locate anomalies. However, previous ...

Knowledge distillation has emerged as a pivotal technique in artificial intelligence, enabling the creation of compact, efficient models from larger, more complex ones, which is transforming ...

According to Jeff Dean (@JeffDean), both Gemini Flash and Waymo are leveraging knowledge distillation, as detailed in the research paper arxiv.org/abs/1503.02531, to ...

The original version of this story appeared in Quanta Magazine. The Chinese AI company DeepSeek released a chatbot earlier this year called R1, which drew a huge amount of attention. Most of it ...

1 Computer Science Department, Computer Systems Engineering Laboratory, Faculty of Sciences Semlalia Cadi Ayyad University, Marrakesh, Morocco 2 LAMIGEP, Moroccan School of Engineering Sciences, ...

Ever Googled yourself and wished for that polished informational box to pop up on the results page? That’s a Google Knowledge Panel. More than just a helpful box on the search engine results page ...

In clinical practice, the development of personalized treatment strategies for cervical cancer is hindered by the limited accuracy of drug response prediction, partly due to missing modalities in ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. To understand molecular mechanisms of protein–peptide ...

As the use of Unmanned Aerial Vehicles (UAVs) expands across various fields, there is growing interest in leveraging Federated Learning (FL) to enhance the efficiency of UAV networks. However, ...